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Vector libraries

This page lists Python GIS libraries related to working with vector data, categorized into core (data structures), data processing, analysis and visualization. If you see any missing Python tools, please open a PR (see instructions). Tools are sorted alphabetically in each category. The linkages section shows how the tools are connected to the broader Python ecosystem.

Tables below list relevant information about the libraries, including:

• links to the Homepage of the package (redirects after clicking the House character)

• short Info (description) of the package: You can see the desciprtion by holding your mouse on top of the ⓘ character for a second

• License

• Latest PyPi and conda-forge version of the package

• Number of downloads from PyPi or conda-forge

• Latest release date

Libraries

from pygieons import Ecosystem

# Initialize
e = Ecosystem(plot_type="vector", log=False)

# Prepare the table and plot it
e.prepare_table().show()

Analysis / modelling (count=29)

Name	Homepage	Info	License	PyPi version	PyPi downloads (monthly)	Conda-forge version	Conda-forge downloads	Conda-forge latest release
access	🏠	ⓘ			28,207
esda	🏠	ⓘ			47,209
geosnap	🏠	ⓘ			105
giddy	🏠	ⓘ			25,059
inequality	🏠	ⓘ			24,709
mesa	🏠	ⓘ			3,109
mesa-geo	🏠	ⓘ	NA		592	NA	NA	NA
mgwr	🏠	ⓘ			25,718
momepy	🏠	ⓘ			29,218
movingpandas	🏠	ⓘ			3,924
pandana	🏠	ⓘ			1,591
pointpats	🏠	ⓘ			25,249
pyinterpolate	🏠	ⓘ	NA		108	NA	NA	NA
pysal	🏠	ⓘ			29,262
r5py	🏠	ⓘ			20
scikit-mobility	🏠	ⓘ			6,931
segregation	🏠	ⓘ			26,098
spaghetti	🏠	ⓘ			24,763
spglm	🏠	ⓘ			25,633
spint	🏠	ⓘ			24,632
splot	🏠	ⓘ			25,094
spopt	🏠	ⓘ			24,649
spreg	🏠	ⓘ			25,938
spvcm	🏠	ⓘ			24,655
tobler	🏠	ⓘ			26,215
trackintel	🏠	ⓘ	NA		318	NA	NA	NA
transbigdata	🏠	ⓘ			618
urbanaccess	🏠	ⓘ			284
urbansim	🏠	ⓘ			212

Core / data structures (count=15)

Name	Homepage	Info	License	PyPi version	PyPi downloads (monthly)	Conda-forge version	Conda-forge downloads	Conda-forge latest release
GEOS	🏠	ⓘ			47,036
PDAL	🏠	ⓘ			2,265
cuspatial	🏠	ⓘ	NA		18	NA	NA	NA
dask-geopandas	🏠	ⓘ			7,216
fiona	🏠	ⓘ			2,601,979
geographiclib	🏠	ⓘ			3,333,566
geopandas	🏠	ⓘ			2,419,419
laspy	🏠	ⓘ			29,068
libpysal	🏠	ⓘ			61,872
pygeos	🏠	ⓘ			170,032
pyogrio	🏠	ⓘ			1,440
pyshp	🏠	ⓘ			353,464
python-igraph	🏠	ⓘ			241,604
rtree	🏠	ⓘ			1,003,658
shapely	🏠	ⓘ			7,024,329

Data extraction / processing (count=7)

Name	Homepage	Info	License	PyPi version	PyPi downloads (monthly)	Conda-forge version	Conda-forge downloads	Conda-forge latest release
geopy	🏠	ⓘ			4,768,246
h3	🏠	ⓘ			1,535,668
osmnet	🏠	ⓘ			4,732
osmnx	🏠	ⓘ			69,661
pyntcloud	🏠	ⓘ			8,379
pyrosm	🏠	ⓘ			5,930
snkit	🏠	ⓘ	NA		24	NA	NA	NA

Visualization (count=4)

Name	Homepage	Info	License	PyPi version	PyPi downloads (monthly)	Conda-forge version	Conda-forge downloads	Conda-forge latest release
geoplot	🏠	ⓘ			7,729
legendgram	🏠	ⓘ			34
pandas-bokeh	🏠	ⓘ	NA		12,766	NA	NA	NA
vizent	🏠	ⓘ	NA		11	NA	NA	NA

Linkages

# Initialize
e = Ecosystem(plot_type="vector+generic", log=False)

# Prepare the network and plot it
net = e.prepare_net()
net.show()

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